# Lead, Software Engineer (Agentic workflows/APIs) **Company**: Mastercard **Location**: Pune, India **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Finance **Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Lead--Software-Engineer--Agentic-workflows-APIs-_R-292798-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/lead-software-engineer-agentic-workflows-apis-a65b15e8-967/ ## Description Mastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities. The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. **Role & Responsibilities** **Technical Leadership** - Lead end-to-end delivery of complex engineering initiatives. - Define technical architecture, engineering patterns, solution roadmaps, and development standards. - Drive technical design reviews, architecture discussions, and engineering best practices. - Guide teams in building scalable, secure, resilient, and maintainable platforms. - Evaluate emerging technologies and recommend strategic adoption opportunities. - Influence technical roadmaps and long-term platform strategy. **Software Engineering** - Design and develop enterprise-grade backend services, APIs, and distributed systems using Java and Spring Boot. - Build scalable, high-availability microservices and cloud-native applications. - Design and implement secure, high-performance RESTful APIs and integrations. - Ensure software quality through code reviews, automated testing, and engineering governance. - Drive modernization, automation, and platform engineering initiatives. **Agentic Workflows & AI Enablement** - Design and implement agent-driven workflows and intelligent automation solutions. - Integrate AI powered capabilities into engineering and operational processes. - Collaborate with business and engineering stakeholders to identify AI-enabled use cases. - Establish best practices for responsible AI adoption within software delivery lifecycles. - Drive adoption of AI-assisted development practices to improve engineering productivity and quality. **Cloud, Platform & Data Engineering** - Design, develop, and deploy solutions on AWS. - Build reusable frameworks, platforms, and engineering accelerators. - Enable Infrastructure as Code (IaC) and automation-first engineering practices. - Design and support scalable ETL, analytics, and data processing solutions. - Build event-driven and data-intensive applications using modern architecture patterns. - Partner with DevOps teams to improve deployment reliability, scalability, and operational maturity. **Operational Excellence** - Champion observability, monitoring, alerting, reliability, and performance engineering practices. - Lead incident management, troubleshooting, and root-cause analysis activities. - Drive continuous improvement initiatives focused on availability, performance, resiliency, and security. - Ensure compliance with Mastercard engineering, risk, and security standards. **Team Leadership** - Mentor and coach software engineers and senior engineers. - Support hiring, onboarding, and technical skill development. - Foster a culture of accountability, innovation, ownership, and continuous learning. - Collaborate effectively across Product, Architecture, Security, Operations, and Engineering teams. - Develop future technical leaders and promote engineering excellence. **Required Qualifications** - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field. - 8+ years of software engineering experience. - Proven track record delivering enterprise-scale software solutions. - Experience leading cross-functional engineering initiatives. - Experience building cloud-native and distributed systems at scale. - Strong experience mentoring engineers and driving engineering excellence. **Technical Skills** - Java (8+), Python - Spring Boot, Spring Cloud, Microservices, REST APIs, OpenAPI/Swagger, API Lifecycle Management, Distributed Systems - System Design, Object-Oriented Design, Design Patterns, Domain Driven Design (DDD), Event-Driven Architecture, CQRS, Event Sourcing, Hexagonal/Clean Architecture - AWS EC2, ECS, EKS, Lambda, S3, API Gateway, IAM, SNS, SQS, RDS - Oracle, PostgreSQL, MongoDB, NoSQL Databases - Kafka, Axon Framework, Event Streaming Platforms - Git, GitHub, Jenkins, Maven, Gradle, CI/CD Pipelines, Infrastructure as Code (IaC), Platform Engineering - Splunk, Dynatrace, OpenTelemetry, Distributed Tracing, Application Monitoring, Logging & Alerting - OAuth2, JWT, Secure API Development, Secure SDLC, Authentication & Authorization, Encryption Standards, Secure Coding Practices - GitHub Copilot, Microsoft Copilot, Agentic Engineering Practices For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Java - Python - Spring Boot - Microservices - REST APIs - Distributed Systems - System Design - Object-Oriented Design - Design Patterns - Domain Driven Design (DDD) - Event-Driven Architecture - CQRS - Event Sourcing - Hexagonal/Clean Architecture - AWS - Git - GitHub - Jenkins - Maven - Gradle - CI/CD Pipelines - Infrastructure as Code (IaC) - Platform Engineering - Splunk - Dynatrace - OpenTelemetry - Distributed Tracing - Application Monitoring - Logging & Alerting - OAuth2 - JWT - Secure API Development - Secure SDLC - Authentication & Authorization - Encryption Standards - Secure Coding Practices ### Nice to have - Experience building AI-powered or agentic applications - Familiarity with LLM platforms, GenAI, MCP, Copilot, or related technologies - Experience with event-streaming platforms such as Kafka - Experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, CloudWatch, and IAM - Knowledge of Infrastructure as Code tools such as Terraform - Experience with observability platforms such as Splunk and Dynatrace - Experience with Databricks, Snowflake, or modern analytics platforms - Experience building enterprise API products and developer ecosystems - Experience leading cloud transformation and modernization programs - Payments, fintech, or financial services industry experience --- Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Lead--Software-Engineer--Agentic-workflows-APIs-_R-292798-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)